Tahilin Sanchez Karver — accepted AI-conference papers

2024

Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions

Sharon Levy, Tahilin Sanchez Karver, William Adler, Michelle R Kaufman, Mark Dredze

EMNLP 2024finding

Chat-based large language models have the opportunity to empower individuals lacking high-quality healthcare access to receive personalized information across a variety of topics. However, users may ask underspecified questions that require additional context for a model to correctly answer. We stud…

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2024

Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts

Sharon Levy, William Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R Kaufman

EMNLP 2024finding

Large language models (LLMs) acquire beliefs about gender from training data and can therefore generate text with stereotypical gender attitudes. Prior studies have demonstrated model generations favor one gender or exhibit stereotypes about gender, but have not investigated the complex dynamics tha…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗